Cargando…
Spatio-Temporal Attention Model for Foreground Detection in Cross-Scene Surveillance Videos
Foreground detection is an important theme in video surveillance. Conventional background modeling approaches build sophisticated temporal statistical model to detect foreground based on low-level features, while modern semantic/instance segmentation approaches generate high-level foreground annotat...
Autores principales: | Liang, Dong, Pan, Jiaxing, Sun, Han, Zhou, Huiyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928834/ https://www.ncbi.nlm.nih.gov/pubmed/31771250 http://dx.doi.org/10.3390/s19235142 |
Ejemplares similares
-
Background modeling and foreground detection for video surveillance
por: Bouwmans, Thierry, et al.
Publicado: (2015) -
Interaction between Attention and Bottom-Up Saliency Mediates the Representation of Foreground and Background in an Auditory Scene
por: Elhilali, Mounya, et al.
Publicado: (2009) -
Foreground Segmentation in Depth Imagery Using Depth and Spatial Dynamic Models for Video Surveillance Applications
por: del-Blanco, Carlos R., et al.
Publicado: (2014) -
Foreground Detection with Deeply Learned Multi-Scale Spatial-Temporal Features
por: Wang, Yao, et al.
Publicado: (2018) -
Fusion Attention Mechanism for Foreground Detection Based on Multiscale U-Net Architecture
por: Liu, Peng, et al.
Publicado: (2022)